At NeurIPS 2022, generative AI and LLMs are hot topics
At the first week of NeurIPS 2022, generative AI and LLMs were hot topics — along with a Geoffrey Hinton keynote in honor of ImageNet.Read More
AWS AI Service Cards signal Amazon’s responsible AI catch-up
At AWS re:Invent, Amazon launched AI Service Cards, which a Gartner analyst says is an effort to catch up with competitors in responsible AI.Read More
Nvidia showcases groundbreaking generative AI research at NeurIPS 2022
Nvidia continues to push boundaries of generative AI in machine learning, self-driving cars, robotics, graphics, simulation and more. Read More
Stability AI looks to AWS cloud to power the next generation of generative AI
Stability AI, developer of the Stable Diffusion text-to-image generative AI model, announced Amazon’s AWS as its preferred cloud platform.Read More
Android Phone Makers’ Encryption Keys Stolen and Used in Malware
Device manufacturers use “platform certificates” to verify an app’s authenticity, making them particularly dangerous in the wrong hands.
Activision Blizzard Has Another Union on Its Hands. Now What?
A group of quality assurance workers in New York just won legal recognition of its union—a second milestone for organizing efforts within the gaming industry.
Devialet Mania Review: Bottom-Heavy, But Powerful
If you think “bass” equals “excitement,” then this is for you. But the fact that this high-end French audio brand is no longer bonkers does not bode well.
How Chinese Netizens Swamped China’s Internet Controls
The government regained control of streets and social networks, but citizens protesting zero-Covid policies proved smartphones can help fuel mass action.
DeepMind’s new AI app plays Stratego at expert level
A team of researchers at DeepMind Technologies Ltd., has created an AI application called “DeepNash” that is able to play the game Stratego at an expert level. In their paper published in the journal Science, the group describes the unique approach they took to improve the app’s level of play.
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
Visual anomaly detection, an important problem in computer vision, is usually formulated as a one-class classification and segmentation task. The student-teacher (S-T) framework has proved to be effective in solving this challenge. However, previous works based on S-T only empirically applied constraints on normal data and fused multi-level information. In this study, we propose an …
Read more “DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection”